In this paper, a study on surface roughness model when hole turning SAE 420 steel has been done. This study has been presented with three main contents. The first content is to determine the influence of some parameters on the surface roughness. The second content is to build a quadratic model showing the relationship between surface roughness with cutting velocity, depth of cut, feed rate and nose radius. The third content is to evaluate the accuracy of surface roughness model by comparing the roughness value when estimating and roughness value when testing. The development directions for further studies are also mentioned in this study.
Tran Van Dich, Nguyen Trong Binh, Nguyen The Dat, Nguyen Viet Tiep, Tran Xuan Viet, Manufacturing technology, Science and Technics Publishing House, Ha Noi, 2003.
M. H. El-Axir, M. M. Elkhabeery, M. M. Okasha, Modeling and Parameter Optimization for Surface Roughness and Residual Stress in Dry Turning Process, Engineering, Technology & Applied Science Research Vol. 7, No. 5 (2017) 2047-2055.
Dejan Tanikić, Velibor Marinković, Modelling and Optimization of the Surface Roughness in the Dry Turning of the Cold Rolled Alloyed Steel Using Regression Analysis, J. of the Braz. Soc. of Mech. Sci. & Eng., Vol. XXXIV, No. 1 (2012) 41-48.
Nguyen Hong Son, Hoang Xuan Thinh, Nhu-Tung Nguyen, and Do Duc Trung, Experimental Investigation of the influence of the Cutting Conditions on the Surface Roughness in Hole turning the SCM400 Steel, European Journal of Engineering Research and Science Vol. 4, No. 8, (2019) 11-14
Nguyen Hong Son, Hoang Xuan Thinh, Nhu-Tung Nguyen, Do Duc Trung, Influence of Cutting Conditions on the Surface Roughness When Hole Turning Heat-Treated SKD11 Steel, Proceedings of the International Conference on Engineering Research and Applications, LNNS 104 (2020) 426–435.
Amrifan Saladin Mohruni, Muhammad Yanis, Edwin Kurniawan, Development of surface roughness prediction model for hard turning on AISI D2 steel using Cubic Boron Nitride insert, Jurnal Teknologi, Vol. 80, No. 1 (2018) 173–178
Salah Gasim Ahmed, Development of a Prediction Model for Surface Roughness in Finish Turning of Aluminium, Sudan Engineering Society Journal, Vol. 52, No.45 (2006), 1-5.
Dilbag Singh, P. Venkateswara Rao, A surface roughness prediction model for hard turning process, Int J Adv Manuf Technol, Vol. 32 (2007), 1115-1124.
C. X. (Jack) Feng, X. Wang, Development of Empirical Models for Surface Roughness Prediction in Finish Turning, Int J Adv Manuf Technol, Vol. 20, (2002) 348–356.
A. Doniavi, M. Eskandarzade, M. Tahmasebian, Empirical modeling of surface roughness in turning process of 1060 steel using factorial design methodology, Journal of applied sciences, Vol. 7, No. 17 (2007), 2509-2513
K. Taraman, B. lambert, A surface roughness model for a turning operation, International Journal of Production Research, Vol. 12, No. 6, (1974) 691-703.
Manan Kulshreshtha, Analysis of the Effect of Machining Parameters on Surface Roughness of EN 36 Nickel Steel, International Journal of Advanced Information Science and Technology, Vol.16, No.16, (2013), 1-7.
H. H. Shahabi, M. M. Ratnam, Prediction of surface roughness and dimensional deviation of workpiece in turning: a machine vision approach, Int J Adv Manuf Technol, Vol. 48, (2010) 213–226.
Maohua Xiao, Xiaojie Shen, You Ma, Fei Yang, Nong Gao, Weihua Wei, Dan Wu, Prediction of Surface Roughness and Optimization of Cutting Parameters of Stainless Steel Turning Based on RSM, Mathematical Problems in Engineering, Volume (2018),
S. Dinesh, K. Rajaguru, V. Vijayan, Investigation and Prediction of Material Removal Rate and Surface Roughness in CNC Turning of EN24 Alloy Steel, Mechanics and Mechanical Engineering, Vol. 20, No. 4 (2016) 451–466.
Nitin Ambhore, Dinesh Kamble, Satish Chinchanikar, Prediction of cutting tool vibration and surface roughness in hard turning of AISI52100 steel, MATEC Web of Conferences, Vol. 211, No. 03011 (2018), https://doi.org/10.1051/matecconf/201821103011.
This work is licensed under a Creative Commons Attribution 4.0 International License.
The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.
Submission of the manuscript represents that the manuscript has not been published previously and is not considered for publication elsewhere.